Katerina Margatina
I’m currently an Applied Scientist at Amazon in NYC, working with the AWS Bedrock Agents team. My main focus is on improving how LLM agents work—making them more useful, reliable, and efficient.
I earned my PhD in Computer Science at the University Sheffield, under the supervision of Prof. Nikos Aletras. I researched active learning algorithms for data efficient LLMs. Along the way, I spent time as a Research Scientist intern at Meta AI (FAIR) in London where I explored the intersection of in-context and active learning methods for LLMs, and at AWS in NYC where I studied temporal robustness of LLMs. I also visited the CoAStaL group in the University of Copenhagen, where I worked on learning from disagreement and cross-cultural NLP.
Before my doctoral studies (i.e., what feels like a lifetime ago), I was a Machine Learning Engineer at DeepSea Technologies. In my undergrad, I studied Electrical & Computer Engineering at the National Technical University of Athens (NTUA).
news
Dec 13, 2024 | 🌈PRISM won best paper award at NeurIPS 2024 Datasets & Benchmarks track!!🚀🚀🚀 |
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Dec 3, 2024 | My PhD thesis Exploring Active Learning Algorithms for Data Efficient Language Models is finally online! |
Jul 22, 2024 | I just defended my PhD and got it with no corrections!!!🥰🎓 |
Apr 24, 2024 | Super excited to share that our preprint The PRISM Alignment Project: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models is on Arxiv! |
Jan 16, 2024 | Life update! I joined AWS Bedrock as an Applied Scientist working in LLM Agents.🤖 |
selected publications
- NeurIPS
🏆 Best Paper
The PRISM Alignment Project: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language ModelsIn Proceedings of the Conference on Neural Information Processing Systems (NeurIPS) Track on Datasets and Benchmarks. 2024